Result for 1B3F39E7786EACBA27C67919D0E86F8C3C64BA17

Query result

Key Value
FileName./usr/lib/debug/.build-id/91/0a7007c03d6cfbe39d58dbf6b4a73c2b3e4387.debug
FileSize118060
MD5A2E26456AF0E1B0134C3197CB5FD27D8
SHA-11B3F39E7786EACBA27C67919D0E86F8C3C64BA17
SHA-256B5629BA4B5449C15606870391EC74F712B2E3AFDC4C6E9DF2548E33633BFC42A
SSDEEP1536:Dw9jdUNK0EmGrJ4h/cSYK39wUP8VJkow+gP6GFlwg+Bt2y8CMZ87evoh7EsJY6ae:Dw1buhU2Pyw+gyfgIAyie72AYZpnC3
TLSHT145B3CF16AB8FB522EBC97FF18D8623D69352C1C41552E3D319AC0ADA2F337150E63E61
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize4223736
MD5754428534FEC6221C4C3FAD296D811ED
PackageDescriptiondebug extension for h5py (Python 3) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides h5py for the Python 3 debug interpreter.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-dbg
PackageSectiondebug
PackageVersion2.7.0-1
SHA-102B1DEA5EF0302B35C6C410917F86FBBEB00660E
SHA-2565444BB413C3790BA948FAA97DAC41ABBBE208FF8BD128A33D8CD81F6A53B9AFC